# -*- coding: utf-8 -*-
from datetime import timedelta
from spmi.ods.mysql.ibk.ibk_fund_record_report import spmi_ods__ibk_fund_record_report

from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator

spmi_dwd__dwd_ibk_fund_record_report_base_dt = SparkSqlOperator(
    task_id='spmi_dwd__dwd_ibk_fund_record_report_base_dt',
    email=['lukunming@jtexpress.com','yl_bigdata@yl-scm.com'],
    master='yarn',
    name='spmi_dwd__dwd_ibk_fund_record_report_base_dt_{{ execution_date | date_add(1) | cst_ds }}',
    sql='spmi/dwd/ibk/dwd_ibk_fund_record_report_base_dt/execute.hql',
    pool_slots=2,
    executor_cores=2,
    executor_memory='3G',
    num_executors=2,
    conf={'spark.dynamicAllocation.enabled'                  : 'true',
          'spark.shuffle.service.enabled'                    : 'true',
          'spark.dynamicAllocation.maxExecutors'             : 32,
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 30,
          'spark.sql.sources.partitionOverwriteMode'         : 'dynamic',
          'spark.executor.memoryOverhead'                    : '1G',
          'spark.yarn.maxAppAttempts'                        : 1,
          },
    hiveconf={'hive.exec.dynamic.partition'             : 'true',  # 动态分区
              'hive.exec.dynamic.partition.mode'        : 'nonstrict',
              'hive.exec.max.dynamic.partitions'        : 300,  # 最大分区
              'hive.exec.max.dynamic.partitions.pernode': 300,  # 最大分区
              },
    yarn_queue='pro',
    execution_timeout=timedelta(minutes=80),
    sla=timedelta(hours=4),
    retries=2,
)

spmi_dwd__dwd_ibk_fund_record_report_base_dt << spmi_ods__ibk_fund_record_report